FraudBV-08

Lab

Blueprint Vault

Starter Pilot Pack

Synthetic Identity Fraud Scorer

Starter pilot templates for fraud pattern-reasoning prompts, LangGraph-style workflow demos, and illustrative scoring gates—not production fraud authorization.

Starter Pilot Pack · BV-08

Synthetic Identity Fraud Scorer

Starter pilot templates for fraud pattern-reasoning prompts, LangGraph-style workflow demos, and illustrative scoring gates—not production fraud authorization.

Fintech · fraud ops · transaction monitoring

Who it's for

Fintech · fraud ops · transaction monitoring

Best when

Reference pattern-reasoning prompts + illustrative fraud scorer demo

Outcome

Monday: run the local fraud scorer dry-run on sample cases and use the Architecture Mapping Session link in your receipt email when you are ready to discuss production hardening.

Pilot templates and reference implementations only—not production-authorized guardrails, certified controls, or legal/compliance sign-off.

Preview only — not yet available for purchase

INSTRUCTIONS.md

Start here — local pilot steps (Architecture Mapping Session link in purchase receipt email)

Engineer README

Local dry-run setup, env vars, and pilot verification checklist

Prompt & schema blueprint

Reference prompt templates and structured output contracts (not prod-tuned)

GCP + Vertex architecture

Reference diagram: reasoning tier, validator demo app, audit sink

Reference demo apps

Illustrative Python validators, JSON schemas, and eval harness examples

Reference Terraform

Optional IaC sketch for GCP — not prod-hardened

ROI cost calculator

Model-mix and volume inputs → monthly inference spend and deflection ROI

Disclaimer & license

Pilot-only scope — not production-authorized guardrails

Blueprint Lab

LangGraph fraud scenarios, pattern-reasoning trace, and fail-closed Python scoring walkthrough. Free when signed in.

Your pilot week

Your path this week

Monday: run the local fraud scorer dry-run on sample cases and use the Architecture Mapping Session link in your receipt email when you are ready to discuss production hardening.

o3-pro-class models pattern-reason over behavioral signals; Python fail-closed scoring returns FLAG | REVIEW | CLEAR.

Local fraud workflow dry-run on sample gold cases
Review pattern-reasoning prompt templates
Walk through FLAG | REVIEW | CLEAR scorer examples
After purchase, use the Architecture Mapping Session link in your receipt email to schedule your review

Reasoning architecture

Models reason · validators authorize

o3-pro-class models pattern-reason over behavioral signals; Python fail-closed scoring returns FLAG | REVIEW | CLEAR.

Tier	Model	Role
Reasoning	OpenAI o3-pro (class)	Synthetic identity and mule pattern hypothesis over txn history
Authorization	Python scorer	Fail-closed FLAG \| REVIEW \| CLEAR with rule_id trace

LangGraph fraud scenarios, pattern-reasoning trace, and fail-closed Python scoring walkthrough. Free when signed in.

Inside this edition

01Executive snapshot
02Agentic workflow
03Primary pain

Executive snapshot

Transaction monitoring teams need pattern reasoning over behavioral signals — not brittle static rules alone. This pack ships a LangGraph-style workflow: gather txn metadata + user history → reason → validate → Python fail-closed score.

Proof	Detail
Unit economics	~$0.05/check vs ~$2.50 manual analyst (ROI gap in `pack/reports/latest.md`)
Eval	50 labeled edge cases (txn monitoring hero; ~10 ATO secondary)
Latency	Async batch default — real-time optional in architecture doc

Synthetic Identity Fraud Scorer

Starter pilot templates for fraud pattern-reasoning prompts, LangGraph-style workflow demos, and illustrative scoring gates—not production fraud authorization.

Fintech · fraud ops · transaction monitoring

Who it's for

Fintech · fraud ops · transaction monitoring

Best when

Reference pattern-reasoning prompts + illustrative fraud scorer demo

Outcome

Monday: run the local fraud scorer dry-run on sample cases and use the Architecture Mapping Session link in your receipt email when you are ready to discuss production hardening.

Pilot templates and reference implementations only—not production-authorized guardrails, certified controls, or legal/compliance sign-off.

Preview only — not yet available for purchase

Your path this week

Monday: run the local fraud scorer dry-run on sample cases and use the Architecture Mapping Session link in your receipt email when you are ready to discuss production hardening.

o3-pro-class models pattern-reason over behavioral signals; Python fail-closed scoring returns FLAG | REVIEW | CLEAR.

Local fraud workflow dry-run on sample gold cases

Review pattern-reasoning prompt templates

Walk through FLAG | REVIEW | CLEAR scorer examples

After purchase, use the Architecture Mapping Session link in your receipt email to schedule your review

Models reason · validators authorize

o3-pro-class models pattern-reason over behavioral signals; Python fail-closed scoring returns FLAG | REVIEW | CLEAR.

Tier	Model	Role
Reasoning	OpenAI o3-pro (class)	Synthetic identity and mule pattern hypothesis over txn history
Authorization	Python scorer	Fail-closed FLAG \| REVIEW \| CLEAR with rule_id trace

Executive snapshot

Proof	Detail
Unit economics	~$0.05/check vs ~$2.50 manual analyst (ROI gap in `pack/reports/latest.md`)
Eval	50 labeled edge cases (txn monitoring hero; ~10 ATO secondary)
Latency	Async batch default — real-time optional in architecture doc